Author: LARRY FINK
PRODUCT OWNER, VELOCITY MODELING
Velocity modeling for domain conversion is critical for prospect-based exploration. That said, velocity modeling can be a time consuming and convoluted process, and its outputs are rarely maintained in an evergreen state. Furthermore, velocity solutions are non-unique, and the models tend to be oversimplified versions of the subsurface.
To combat these challenges DecisionSpace® 365 Geoscience Suite includes velocity modeling software that rapidly integrates relevant subsurface data to deliver an up-to-date domain conversion model, which can be used for accurate well placement and field risk assessment.
The software can now automate the aggregation and synthesis of geoscience data to monitor geologic velocity changes. Moreover, it includes a “geologic velocity digital twin workspace”, in which geoscientists can seamlessly integrate data types and interpretations within a single framework. As well as being available on the cloud the same great software is also available as part of our on-premise equivalent, DecisionSpace 10ep. Whatever works best for you.
So what does the latest version of DecisionSpace 365 Geoscience Suite have to offer?
Figure 1: Geologic velocity digital twin workspace
This dynamic velocity workspace allows for better target depth predictions, enabling E&P operators from around the world to drill safer and more cost-effective wells.
Tools within the velocity modeling software allow geoscientists to leverage digital technologies for efficient blind well testing, well pick sensitivity analysis and volumetric sensitivity analysis. Figure 2 shows how the blind well workflow automatically generates depth uncertainty measurements at every well pick location. Subsequently, the uncertainty measurements can be quickly gridded into a full depth uncertainty map.
Figure 2: Uncertainty analysis via cross-validation
The velocity modeling software helps automate the aggregation and synthesis of geoscience data from play to prospect scale to model the vertical and spatial extent of geologic velocity changes. These models are calibrated to tie the seismic time data to the well depth data. The models are also constrained per geologic layer by a wealth of geologic and geophysical constraints, such as:
Since data access is via the industry leading OpenWorks® database, the velocity modeling tools are able to assimilate all new and existing well and seismic data on the fly, allowing models to be updated with maximum efficiency into a single digital repository to create an evergreen digital twin for velocity models.
Various “what if” scenario models can be quickly built and then assessed alongside the DecisionSpace 365 3D subsurface interpretation system. This allows for qualitative analysis of how each geological and geophysical input alters the resultant velocity model and its effect on the domain conversion. Many flexible workflows are supported, such as: standard structural plays, onshore stratigraphic plays, unconventional shale plays, and deep-water salt geometry plays.
Built in the unified interpretation workspace, velocity models are displayed and evaluated along with seismic, well, and structural interpretations. This approach leads to increased confidence in the velocity model. Complex, geologically accurate structures can be built using Dynamic Frameworks to Fill® conformance technology. Our velocity modeling software integrates the accurate geologic structures with all the relevant time and depth subsurface data from vertical, deviated, horizontal wells, and seismic data to build an optimal velocity model. This approach leads to a geologically sound model in complex geology. Interpreters can view the same data in time and/or depth domains depending on the view. Alternatively, the model can be used in batch mode to statically domain-convert seismic or interpretation data.
The new velocity modelling capabilities in DecisionSpace 365 Geoscience Suite seek to seamlessly integrate all the data to build the accurate velocity models for streamlining your subsurface workflows. To learn more about these new capabilities, register for the Reducing Uncertainty with Velocity Modeling webinar today.